BRN Discussion Ongoing

[manny100]

Rude.

You know there's nothing stopping you from contributing your own research here, instead of just playing town critic.

What both you and @TheDrooben seem to have missed is that I posted an excerpt from an article that nobody else had picked up on, which is what formed the basis of my ChatGPT query. Ironically, that post itself was in response to a comment about ChatGPT being “useless,” to show how it can be used in a constructive way.

The excerpt I shared highlighted Arm stating the Mali GPU and AI accelerator are “optional” in their latest platform. That’s a critical point, because it means chipmakers can slot in whichever accelerator they choose.


View attachment 90791




So far, nobody else has discussed this or Arm’s Zena platform and I’ve been trying to connect the dots

In a previous post #83,058, I commented on Renee Hass (Arm's CEO) being asked whether Arm would consider making its own accelerator, and how that ties into this more recent “optional accelerator” comment.

Likewise, in another previous post #83,075, I pointed out how Paul Williamson (Senior Vice President and General Manager, IoT Line of Business) also hinted about Arm potentially needing a higher-performance NPU.

The interesting angle for me is whether Arm might be weighing RTL versus chiplet integration for Akida/TENNs. That’s what I’m trying to get at, even if I lack the technical depth to do all the heavy lifting myself.

Thanks to ChatGPT, I’ve learned that AI accelerators can be integrated as a) RTL blocks in a monolithic SoC, or b) they can be dropped in as chiplets using frameworks like CSA/UCIe.

ChatGPT is also helping me to ascertain how Akida/TENNs could slot into that optional accelerator role, either as a companion block alongside Ethos-U85/M85, or a chiplet via Arm’s ecosystem. And how Akida 2 + TENNs versus Akida 3 + TENNs might fit into Arm’s longer-term chiplet ambitions.

That’s the line of thinking behind my posts. If it’s not appreciated, fair enough. Maybe I should just keep my research to myself.

IMO we all have to get used to reading AI produced information. Just like Neuromophic Edge AI ain't going anywhere except up.
The trick is understanding its limitations and as 'you do' and frame queries in such a way that increases probability.
As long as its disclosed as 'chatty' produced as you do then every poster has an option ' to read or not to read'.
A specific question to 'chat' will reveal how to increase the probabilities of a correct answer.
I enjoy your posts.

 

[CHIPS]

Rude.

You know there's nothing stopping you from contributing your own research here, instead of just playing town critic.

What both you and @TheDrooben seem to have missed is that I posted an excerpt from an article that nobody else had picked up on, which is what formed the basis of my ChatGPT query. Ironically, that post itself was in response to a comment about ChatGPT being “useless,” to show how it can be used in a constructive way.

The excerpt I shared highlighted Arm stating the Mali GPU and AI accelerator are “optional” in their latest platform. That’s a critical point, because it means chipmakers can slot in whichever accelerator they choose.


View attachment 90791




So far, nobody else has discussed this or Arm’s Zena platform and I’ve been trying to connect the dots

In a previous post #83,058, I commented on Renee Hass (Arm's CEO) being asked whether Arm would consider making its own accelerator, and how that ties into this more recent “optional accelerator” comment.

Likewise, in another previous post #83,075, I pointed out how Paul Williamson (Senior Vice President and General Manager, IoT Line of Business) also hinted about Arm potentially needing a higher-performance NPU.

The interesting angle for me is whether Arm might be weighing RTL versus chiplet integration for Akida/TENNs. That’s what I’m trying to get at, even if I lack the technical depth to do all the heavy lifting myself.

Thanks to ChatGPT, I’ve learned that AI accelerators can be integrated as a) RTL blocks in a monolithic SoC, or b) they can be dropped in as chiplets using frameworks like CSA/UCIe.

ChatGPT is also helping me to ascertain how Akida/TENNs could slot into that optional accelerator role, either as a companion block alongside Ethos-U85/M85, or a chiplet via Arm’s ecosystem. And how Akida 2 + TENNs versus Akida 3 + TENNs might fit into Arm’s longer-term chiplet ambitions.

That’s the line of thinking behind my posts. If it’s not appreciated, fair enough. Maybe I should just keep my research to myself.

Not rude, but honest! AND it is my decision! I do not have the time, and I also do not want to read all those pages with something an AI is guessing. ChatGPT might be right sometimes, but also wrong many times.

I asked you before to reduce those posts to summaries, and many people here supported that, but you ignored it and continued posting those long stories. Who was rude here?

I have always highly appreciated your posts before you started using ChatGPT, but I do not see those posts anymore. It is only ChatGPT you have been posting lately. That's your decision.

You cannot win them all!

 

[Frangipani]

Apologies, you're right. Nonetheless their LinkedIn post today reaffirms the partnership has not been affected after the acquisition by Qualcomm.

While that’s true, the question is:
Doesn’t it defeat the actual purpose why we got partnered in the first place, when developers can no longer train new models on Akida?!

In yesterday’s LinkedIn post, Edge Impulse started out by saying:

#imagine2025 #edgeai #brainchip #akida #edgeimpulse | Edge Impulse (a Qualcomm company)

🧠 BrainChip is uniquely integrated with Edge Impulse to train models for their Akida platform. At Imagine 2025, BrainChip will showcase: -Edge Impulse out-of-the-box demo models running on the Akida AKD1500 and Akida FPGA development platforms -One-of-a-kind models developed by BrainChip’s...

www.linkedin.com

Yet, when interested developers then visit the Edge Impulse/Ecosystem-Partners/BrainChip webpage you shared earlier (which I personally find appealing, by the way) and then click on “BrainChip Docs” under “RESOURCES”…

BrainChip

Essential AI. Ubiquitous, distributed AI. Close to the sensor. Inspired by the human brain. Enabled by us.

edgeimpulse.com

… this is how they will be greeted:

BrainChip AKD1000 - Edge Impulse Documentation

docs.edgeimpulse.com

That is very unprofessional and should have been rectified ages ago - I recall that somebody even addressed this issue during the AGM in May, to which our management replied they weren’t aware of any problem with model training on Edge Impulse.
Although a month earlier, @Smoothsailing / @smoothsailing18 had already asked IR for clarification on this issue and got a reply from Tony Dawe that our CTO Tony Lewis were not concerned and had instead referred to the suspension as a “temporary situation” stemming from the acquisition, since Qualcomm had to “review all contracts and commercial arrangements”. (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-457138)


Or else, if model training really DOES continue to be suspended for whatever reason, they should stop with the misleading message that developers can train models for their Akida platform on Edge Impulse, as it currently only concerns those developers who already have “existing trained Edge Impulse projects to deploy to BrainChip devices”.

Either way not a good look.

 

[Fullmoonfever]

Nice to see we're hooked up with Parallax and Steve Harbours group intertwined with the US Govt strategies on microelectronics.

My bold.

Parallax/OAI Powering America’s Microelectronics Future

Aug 26, 2025

In April 2025, the White House released its Amended National Strategy on Microelectronics Research, calling for bold action to strengthen America’s microelectronics innovation ecosystem, expand secure domestic production, and deliver next-generation architectures that go beyond conventional silicon. At Parallax Advanced Research and the Ohio Aerospace Institute, we are delivering on that vision now, translating foundational research in neuromorphic and bio-inspired systems into the lab-to-fab pathways and workforce development the national strategy demands.

Caption: Dr. Steven Harbour, director of AI Hardware Research at Parallax Advanced Research and the Ohio Aerospace Institute

“Neuromorphic computing, living microprocessors, and hybrid bio-organic architectures aren’t distant dreams — they’re active research directions right here in Ohio,” says Dr. Steven Harbour, director of AI Hardware Research at Parallax Advanced Research and the Ohio Aerospace Institute. “We’re doing exactly what the national strategy calls for: pioneering the fourth wave of microelectronics that merges organic and inorganic materials for adaptive, secure, and energy-efficient hardware.”

The White House strategy sets four national goals. Parallax/OAI’s research and partnerships align with each in practical, measurable ways.

First, Goal 1 of the national strategy calls for enabling and accelerating research advances for future generations of microelectronics, specifically emphasizing the development of unconventional materials, robust non-von Neumann architectures, and heterogeneous integration. Parallax/OAI’s projects such as NEUROPATH and Minilla deliver on this priority by advancing IGZO-FinFET hybrids, bio-organic computing elements, and event-driven spiking neural networks that push computing beyond the von Neumann bottleneck. Dr. Harbour’s team is developing RF-to-Light-to-Spike pipelines that integrate photonics, sensing, and neuromorphic processing — demonstrating the very interdisciplinary, heterogeneous designs the strategy names as essential to next-generation performance. Their work on hardware co-design for integrity and security also directly reflects the strategy’s call to prioritize security alongside power, performance, and cost.

Second, the strategy’s Goal 2 emphasizes bridging research to manufacturing through stronger infrastructure and a clear lab-to-fab transition.

“Translating neuromorphic concepts into real, manufacturable silicon takes tight coupling of materials science, design, and packaging,” Harbour said. “Our Minilla and Akida testbeds do exactly that — providing a place where unconventional ideas can become manufacturable designs.”

NEUROPATH explores sparse spike architectures that are scalable in CMOS, while Parallax’s partners help expand access for academia and small business innovators to test and prototype their novel systems. This practical testbed access directly supports the federated networks and advanced prototyping capabilities called for in the White House strategy.

Third, the national strategy highlights the urgent need to grow and sustain the U.S. microelectronics workforce, ensuring that future engineers and technologists are prepared for cutting-edge hardware design and manufacturing. Dr. Harbour’s dual role as a professor and mentor ensures that Parallax/OAI is not just building better microarchitectures — but also building the people who will design, test, and secure them in the years ahead.

“We’re growing the next generation of neuromorphic engineers right here in Ohio,” Harbour said. “Our students and early-career researchers work directly with technologies that are five to ten years ahead of the commercial curve. This is what workforce readiness looks like.”

Finally, Goal 4 calls for a vibrant innovation ecosystem that translates research breakthroughs into trusted domestic production and national security capabilities. Parallax/OAI demonstrates this ecosystem mindset in action. Through collaborative ventures with public-private-academic partners, Parallax/OAI shows how regional clusters can act as national force multipliers. These partnerships ensure that breakthrough architectures — like spiking LLMs and living microprocessor concepts — are not only developed but tested, secured, and positioned for commercialization here in the United States.

“The strategy is clear: the future of microelectronics leadership depends on non-traditional architectures and bio-integrated designs that can’t be easily copied or compromised,” Harbour said. “By building this work in Ohio and with our national lab and defense partners, we help keep America’s microelectronics edge secure and resilient.”

As the White House notes, the next five years will be decisive for America’s position in microelectronics. That’s why Parallax/OAI urges policymakers, program managers, and prime contractors — especially those leading defense and dual-use microelectronics programs — to leverage the research assets, testbeds, and talent pipelines already being built in Ohio and across the Midwest. Working together, these partnerships can accelerate non-von Neumann architectures from lab to fab, cultivate a future-ready workforce, and strengthen the secure domestic supply chain that underpins national security and economic prosperity alike.

“Neuromorphic, bio-inspired, and heterogeneous systems are more than buzzwords. They’re exactly what the nation needs to stay ahead,” Harbour said. “Parallax/OAI is ready to make it real.”

Source: National Strategy on Microelectronics Research, as amended April 2025 — National Science and Technology Council, Executive Office of the President.

###

About Parallax Advanced Research & the Ohio Aerospace Institute  
Parallax Advanced Research is a private advanced research institute that tackles global challenges through strategic partnerships with government, industry, and academia. It accelerates innovation, addresses critical global issues, and develops groundbreaking ideas with its partners. In 2023, Parallax and the Ohio Aerospace Institute, an aerospace research institute located in Cleveland, OH, formed a collaborative affiliation to drive innovation and technological advancements across Ohio and the nation. The Ohio Aerospace Institute plays a pivotal role in advancing aerospace through collaboration, education, and workforce development. More information can be found at parallaxresearch.org and oai.org.  
 

 

[Diogenese]

Nice to see we're hooked up with Parallax and Steve Harbours group intertwined with the US Govt strategies on microelectronics.

My bold.

Parallax/OAI Powering America’s Microelectronics Future

Aug 26, 2025

In April 2025, the White House released its Amended National Strategy on Microelectronics Research, calling for bold action to strengthen America’s microelectronics innovation ecosystem, expand secure domestic production, and deliver next-generation architectures that go beyond conventional silicon. At Parallax Advanced Research and the Ohio Aerospace Institute, we are delivering on that vision now, translating foundational research in neuromorphic and bio-inspired systems into the lab-to-fab pathways and workforce development the national strategy demands.

Caption: Dr. Steven Harbour, director of AI Hardware Research at Parallax Advanced Research and the Ohio Aerospace Institute

“Neuromorphic computing, living microprocessors, and hybrid bio-organic architectures aren’t distant dreams — they’re active research directions right here in Ohio,” says Dr. Steven Harbour, director of AI Hardware Research at Parallax Advanced Research and the Ohio Aerospace Institute. “We’re doing exactly what the national strategy calls for: pioneering the fourth wave of microelectronics that merges organic and inorganic materials for adaptive, secure, and energy-efficient hardware.”

The White House strategy sets four national goals. Parallax/OAI’s research and partnerships align with each in practical, measurable ways.

First, Goal 1 of the national strategy calls for enabling and accelerating research advances for future generations of microelectronics, specifically emphasizing the development of unconventional materials, robust non-von Neumann architectures, and heterogeneous integration. Parallax/OAI’s projects such as NEUROPATH and Minilla deliver on this priority by advancing IGZO-FinFET hybrids, bio-organic computing elements, and event-driven spiking neural networks that push computing beyond the von Neumann bottleneck. Dr. Harbour’s team is developing RF-to-Light-to-Spike pipelines that integrate photonics, sensing, and neuromorphic processing — demonstrating the very interdisciplinary, heterogeneous designs the strategy names as essential to next-generation performance. Their work on hardware co-design for integrity and security also directly reflects the strategy’s call to prioritize security alongside power, performance, and cost.

Second, the strategy’s Goal 2 emphasizes bridging research to manufacturing through stronger infrastructure and a clear lab-to-fab transition.

“Translating neuromorphic concepts into real, manufacturable silicon takes tight coupling of materials science, design, and packaging,” Harbour said. “Our Minilla and Akida testbeds do exactly that — providing a place where unconventional ideas can become manufacturable designs.”

NEUROPATH explores sparse spike architectures that are scalable in CMOS, while Parallax’s partners help expand access for academia and small business innovators to test and prototype their novel systems. This practical testbed access directly supports the federated networks and advanced prototyping capabilities called for in the White House strategy.

Third, the national strategy highlights the urgent need to grow and sustain the U.S. microelectronics workforce, ensuring that future engineers and technologists are prepared for cutting-edge hardware design and manufacturing. Dr. Harbour’s dual role as a professor and mentor ensures that Parallax/OAI is not just building better microarchitectures — but also building the people who will design, test, and secure them in the years ahead.

“We’re growing the next generation of neuromorphic engineers right here in Ohio,” Harbour said. “Our students and early-career researchers work directly with technologies that are five to ten years ahead of the commercial curve. This is what workforce readiness looks like.”

Finally, Goal 4 calls for a vibrant innovation ecosystem that translates research breakthroughs into trusted domestic production and national security capabilities. Parallax/OAI demonstrates this ecosystem mindset in action. Through collaborative ventures with public-private-academic partners, Parallax/OAI shows how regional clusters can act as national force multipliers. These partnerships ensure that breakthrough architectures — like spiking LLMs and living microprocessor concepts — are not only developed but tested, secured, and positioned for commercialization here in the United States.

“The strategy is clear: the future of microelectronics leadership depends on non-traditional architectures and bio-integrated designs that can’t be easily copied or compromised,” Harbour said. “By building this work in Ohio and with our national lab and defense partners, we help keep America’s microelectronics edge secure and resilient.”

As the White House notes, the next five years will be decisive for America’s position in microelectronics. That’s why Parallax/OAI urges policymakers, program managers, and prime contractors — especially those leading defense and dual-use microelectronics programs — to leverage the research assets, testbeds, and talent pipelines already being built in Ohio and across the Midwest. Working together, these partnerships can accelerate non-von Neumann architectures from lab to fab, cultivate a future-ready workforce, and strengthen the secure domestic supply chain that underpins national security and economic prosperity alike.

“Neuromorphic, bio-inspired, and heterogeneous systems are more than buzzwords. They’re exactly what the nation needs to stay ahead,” Harbour said. “Parallax/OAI is ready to make it real.”

Source: National Strategy on Microelectronics Research, as amended April 2025 — National Science and Technology Council, Executive Office of the President.

###

About Parallax Advanced Research & the Ohio Aerospace Institute  
Parallax Advanced Research is a private advanced research institute that tackles global challenges through strategic partnerships with government, industry, and academia. It accelerates innovation, addresses critical global issues, and develops groundbreaking ideas with its partners. In 2023, Parallax and the Ohio Aerospace Institute, an aerospace research institute located in Cleveland, OH, formed a collaborative affiliation to drive innovation and technological advancements across Ohio and the nation. The Ohio Aerospace Institute plays a pivotal role in advancing aerospace through collaboration, education, and workforce development. More information can be found at parallaxresearch.org and oai.org.  
 

Hi Fmf,

This is from the Parallax webpage, so not as up-to-date as your news, but it pairs Loihi 2 with Akida, so yours wins:

https://parallaxresearch.org/news/b...uromorphic-artificial-intelligence-electronic

Parallax Advanced Research and the Future of Neuromorphic Artificial Intelligence in Electronic Warfare​

Scaling Neuromorphic Systems​

Parallax is at the forefront of advancing third-generation AI algorithms, partnering with Intel and Brainchip to develop scalable neuromorphic hardware.

Harbour says, “Both Intel’s Loihi and Brainchip’s hardware appears plausibly scalable for platforms like fighter aircraft or drones.”

In terms of deployment, neuromorphic processors can be integrated into existing electronic countermeasure (ECM) pods, widely used in both Air Force and Navy operations. These pods, which are part of strike packages including crewed and uncrewed aircraft, offer a clear pathway for fielding these advanced systems across the Department of Defense (DoD).

As Harbour said, “The ultimate goal is scalability across air, sea, land, and space domains, ensuring these systems operate effectively on the front lines.”

Haven't found anything on Minilla.

I was curious about IGZO, so prof wiki told me

https://en.wikipedia.org/wiki/Indium_gallium_zinc_oxide

Indium gallium zinc oxide (IGZO) is a crystalline semiconducting material, consisting of indium (In), gallium (Ga), zinc (Zn) and oxygen (O), with a unique atomic arrangement that ensures stable performance. This unique crystalline structure enhances picture resolution and supports compatibility with diverse display technologies, contributing to higher efficiency, performance, and reliability.[1]

IGZO has a very low leakage current and an exceptionally high electron mobility, which is 20-50 times greater than that of amorphous silicon commonly used in liquid-crystal displays (LCDs) and e-papers. The high electron mobility facilitates the miniaturization of transistors and thinning of circuits, allowing for greater light transmission per pixel, effectively doubling the resolution without losing the brightness. This further results in fast response time or less processing delay.[2] Additionally, IGZO is known for its low power consumption. Unlike conventional screens that require all pixels to be driven continuously, IGZO retains image information without refreshing. This reduces its power consumption to as little as one-fifth or even one-tenth that of traditional displays. This further leads to an extension in battery life of portable devices.[3]

IGZO is widely used in thin-film transistors (TFT) for display applications, such as in the TFT backplane of flat-panel displays (FPDs). IGZO-TFT was developed by Hideo Hosono's group at Tokyo Institute of Technology and Japan Science and Technology Agency (JST) in 2003 (crystalline IGZO-TFT)[4][5] and in 2004 (amorphous IGZO-TFT).[6] Since IGZO-TFT has 20–50 times the electron mobility of amorphous silicon, IGZO-TFT can improve the speed, resolution and size of flat-panel displays. It is currently used as the thin-film transistors for use in organic light-emitting diode (OLED) TV displays. While polycrystalline silicon can also exhibit high electron mobilities, its performance is often inconsistent due to the grain boundaries and affect device reliability. In contrast, amorphous IGZO (a-IGZO) TFTs offers a more cost-effective and practical alternative, as it can be fabricated over large areas at low temperatures, ensuring greater uniformity and quality.[7]

IGZO-TFT and its applications are patented by JST.[8] They have been licensed to Samsung Electronics[8] (in 2011) and Sharp[9] (in 2012).

In 2012, Sharp was the first to start production of LCD panels incorporating IGZO-TFT.[10] Sharp uses IGZO-TFT for smartphones, tablets, and 32" LCDs. In these, the aperture ratio of the LCD is improved by up to 20%. Power consumption is improved by LCD idling stop technology, which is possible due to the high mobility and low off current of IGZO-TFT.[11] Sharp has started to release high pixel-density panels for notebook applications.[12] IGZO-TFT is also employed in the 14" 3,200x1,800 LCD of an ultrabook PC supplied by Fujitsu,[13] also used in the Razer Blade 14" (Touchscreen Variant) Gaming Laptop and a 55" OLED TV supplied by LG Electronics.[14]

IGZO's advantage over zinc oxide is that it can be deposited as a uniform amorphous phase while retaining the high carrier mobility common to oxide semiconductors.[15] The transistors are slightly photo-sensitive, but the effect becomes significant only in the deep violet to ultra-violet (photon energy above 3 eV) range, offering the possibility of a fully transparent transistor.

The original IGZO patent: US10032931B2 Switching element 20040312 pub 20180724.

 

[7für7]

My granddaughter 1st birthday and we had to dress up

Ok you forgot the “after” pic …

 

[7für7]

I’ve noticed that people keep complaining about others who actually share good contributions – sometimes they just don’t like this or that, others take a joke too personally, or say someone is “using too much AI.” Many act as if they have the authority to decide what can or cannot be posted in the forum.

Personally, I only have an issue with spam and constant bashing. If posts are too long for me – like those from @Frapa – I simply ignore them. I think a lot of things could be expressed more briefly instead of in endless walls of text. Often it feels like there’s a competition going on where everyone tries to outdo each other with information.

In my opinion, no one has the right to tell others how to write, as long as nobody is being directly insulted. Fun is part of a forum too – including memes, otherwise the GIF function wouldn’t exist. Some people should just pull themselves together or use the “ignore” button if something bothers them. That’s exactly what I do – and some have done the same with me. It saves time and nerves, and in the end you only see the posts that actually interest you. iMO

 

[Frangipani]

New podcast “Innovations in Edge AI” with our CEO Sean Hehir and Transform NOW podcast host Michael Marchuk from SS&C Blue Prism

Some interesting snippets:


From 4:09 min

Podcast host: “So how do you see the differentiation happening within the way you’re positioning your particular architecture vs the way that say Nvidia, Google or some of the others with their specific architectures.”

The second part of Sean Hehir’s answer was:

“We complement them. We’re not gonna compete with them. They’re excellent in what they do, we’re excellent in what we do. And, you know, they cannot do, what we can do, just like we could or could not do some of the things they do. There is no reason our technology couldn’t go there, but there is no really need to go there right now, because they’re there and people are not overly sensitive about power, yet. Some day they will be, but right now these technologies are very complementary. Just use the right tool for the right task at hand. Nothing more complicated than that.”


From 5:34 min

Podcast Host: “How do you see moving your architecture into that type of space [= data center], or do you see that as an eventuality?”

Sean Hehir: “Our mission is to enable the Edge. We have no plans right now at all to move our stuff into the data center. Over time, couldn’t that happen? Absolutely. We think there’s a very large addressable market. We’re staying focused on that addressable market, because that’s where we excel, but you’re absolutely right, the world is waking up, there is limits on the power. You know, and many people in the data center now are trying to reduce their power signature, and they’re gonna run into to some technological limits. And later on, you’re gonna talk about some of the bases of our technology which are inherently lower-power, and some of the things around taking advantage of event-based or neuromorphic and sparsity and all the things that we do exceptionally well, those principles will start to be really really important in the data center in the coming decades.”


So you heard it from the horse’s mouth: “We have no plans right now to move our stuff into the data center.” (And I assume he wasn’t talking about the Laguna Hills office furniture etc )


From 22:54 min:

Podcast host: “So are we gonna see BrainChip IP in some of these humanoid robots that we’ve seen being developed?”

Sean Hehir: “I certainly hope so, and I expect so.”

Michael Marchuk - Blue Prism | LinkedIn

I am the Vice President of Global Advisory Programs at Blue Prism, a leading provider of… · Experience: Blue Prism · Education: University of Illinois at Urbana-Champaign · Location: Charlotte Metro · 500+ connections on LinkedIn. View Michael Marchuk’s profile on LinkedIn, a professional...

www.linkedin.com

 

[7für7]

“September 5, 2025 – At IAA MOBILITY 2025, Mercedes-Benz presents a new era of electric mobility and sets the next milestone in its product offensive.

Mercedes-Benz is continuing the largest product offensive in the company’s history and is showcasing major technological advancements at IAA MOBILITY 2025. The product showcase includes more than 40 models scheduled for launch between 2025 and 2027.

At the center of the event is the world premiere of the brand-new all-electric GLC. The trade fair premiere of the groundbreaking CONCEPT AMG GT XX explores the limits of performance and innovation. In addition, Mercedes-Benz provides insights into its innovations, its strategic initiatives related to the product offensive, the Mercedes-Maybach brand, as well as an update on the company’s strategic direction.”

In that PDF is mentioned only Qualcomm and NVIDIA

https://group.mercedes-benz.com/investoren/events/iaa-mobility-2025.html

https://group.mercedes-benz.com/dokumente/investoren/praesentationen/mercedes-benz-ir-mb-ea-spotlight-on-the-next-electric-architecture.pdf

 

[Dallas]

https://x.com/Onsor_om/status/1964383922705584398?t=FtQffasMZWU84bwnlr5JpQ&s=19

 

[Pom down under]

Ok you forgot the “after” pic …

That was

 

[Frangipani]

Just over a year ago, I spotted an intriguing comment by Alf Kuchenbuch under a STEMIX.TECH LinkedIn post. The founders of this Romanian startup “specializing in AI-centric hardware and software products” had previously worked for CyberSwarm, a neuromorphic startup with roots and an R&D centre in Romania as well, but headquartered in San Mateo, CA.

View attachment 88970
View attachment 88973

(…)

View attachment 88974

While we never heard anything concrete with regards to an actual collaboration between BrainChip and STEMIX.TECH in the ensuing months, I did notice a number of LinkedIn ‘likes’ being exchanged, including this recent one: Their CTO Ionuț Moldovanu gave Alf Kuchenbuch’s Edge AI Milan 2025 post a , in which our VP of Sales, EMEA had mentioned “validating our approach with Akida2 with TENNs, which we will start rolling out for evaluation in summer 2025”:

View attachment 88975


So it appears our companies are still interested in each other, if not already secretly an item.

Although the AI toy project sounded pretty advanced in development at the time (“We’re about to launch…”), STEMIX.TECH never again referred to it on LinkedIn.

Is the Bucharest-based startup still working on it in secrecy?
Or have they meanwhile shelved that project, which would actually be somewhat surprising, given what their CTO stated in this video uploaded to YouTube on 17 June 2024, less than a month before Alf Kuchenbuch made the above comment, whose content suggested they had already been in contact for some time.

“STEMIX.TECH D1 demo video - Voice AI development kit - Use the full power of LLM with our low power development board”:




From 3 min onwards, Ionuț Moldovanu says “Basically you could run a lot of other apps, like voice-to-voice - we’re gonna do a demo with that one as well. You could also tie sensors to it, so the generation could be made accordingly to what the sensors see, sensor values [?]. You can embed it in wearables, you can embed it in industrial equipment, in toys. Actually toys are one of our best choices right now for integrating this device, because smart toys with connections to LLM could be really interactive and engaging for users.”


I pointed out at the time that the envisaged smart toy appeared to be conceptualised as cloud-based, which made me wonder how our company would fit into this, since we keep on spruiking the benefits of privacy and security thanks to on-device processing without having to send data to and from the cloud. Remember, we’re talking about an electronic children’s toy here, where data protection should be of paramount importance!

Also, our potential partner was a yet unknown Romanian startup. It seemed implausible that they would have the budget to take out a regular IP license with us, although our business model had evolved into just that - IP licensing... That’s why I wrote at the time: “So is this possibly a case of a collaboration involving a potential software license of TENNs only?! After all, you don’t necessarily need Akida for running TENNs!”

Fast forward a year and see our BrainChip team buzzing with excitement about Akida GenAI and LLMs on the Edge. This made me revisit that July 2024 STEMIX.TECH post and speculate whether the reason why the smart toy hasn’t yet been launched may possibly have to do with our company convincing the STEMIX.TECH team at the time to shelve their original concept of utilising LLM cloud models, and instead offer to work with them on “LLMs on the Edge” in the true sense of the word: “Small Large Language Models” that can fit on a chip inside the toy and function without any internet connection, hence keeping conversations between children and their AI toys private and safe, all within the family’s four walls.

Is BrainChip possibly working with STEMIX.TECH in the form of a joint partnership (which would circumvent any upfront licence fee) to demonstrate what is possible with regards to LLMs at the Edge?

As I said, all this is pure speculation only. Maybe the project simply got shelved - be it temporarily or indefinitely.


Shortly after the LinkedIn post about the AI toy, STEMIX.TECH announced a partnership with Butonul Roșu - Niciodată Singur (https://butonulrosu.ro/, Butonul Roșu meaning “Red Button”) on the development of an “LTE-M SOS enabled bracelet or keychain focused on safety and health monitoring”.

What piqued my interest about this device - given I was aware of BrainChip’s prior intention of working on another project with STEMIX-TECH - is the sentence “The IoT-LLM technology we are developing will be part of the next wave of energy efficient, AI integrated hardware and software products. It represents a new generation of infrastructure that can analyse and “think” about physical data in ways we never imagined before.”


View attachment 88987


According to a LinkedIn post I stumbled across yesterday, the health wearable is apparently going to be launched under the name STEMIXGuardian. The first few lines in Romanian translate as “Thank you, Liviu! Thank you, Ionut! Stemix, or a reason not to leave Romania permanently:”

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Other than that, STEMIX.TECH’s focus seems to have shifted to industrial applications :

#appliedai #aiinindustry #iot #smartfactories #stemixtech #industrialinnovation #digitaltransformation | STEMIX.TECH

𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗻𝗴 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘂𝗻𝗶𝘁𝘀 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 Artificial intelligence (AI) is often discussed in abstract or futuristic terms, nonetheless at Stemix.Tech we believe in Applied AI Solutions - meaning intelligent solutions that improve real-world operations, now. We don't just use AI — we...

www.linkedin.com

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STEMIX.TECH - AI Operations Platform

Applied AI Solutions for industrial data collection and analysis

www.stemix.tech

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So nothing concrete to see here for now, but I shall continue to keep an eye on this “Applied AI Solutions” startup…

STEMIX.TECH’s AI-Operations Platform has found its first customer, and Alf Kuchenbuch “celebrates” the news shared on LinkedIn by the Romanian startup (According to him, BrainChip wanted to collaborate with them on an AI toy project last year ):

#energyefficiency #industry50 #ai #manufacturing #romania #iot #energymonitoring #smartfactory | STEMIX.TECH

STEMIX.TECH AI-Operations Platform is live! Did you know we can save you money from day 1? We just deployed non-invasive data collection hardware at our first factory, G&P International Ploiesti, a furniture manufacturing company. A monitored edge bander was kept powered on and idle...

www.linkedin.com

Measure. Optimize. Decide. Save $$$$.

Industry 5.0, delivered: analyze machine power signals, reduce energy costs, predict failures. Stemix.Tech AI-OP turns data into actions—and verified savings.

www.linkedin.com

Stemix E1 HW

Measure. Optimize. Decide. Save $$$$.​

Moldovanu Ionut​

We are building the Applied AI Solutions company!



September 4, 2025

With volatile prices in energy and higher maintenance and operating costs, plants can’t rely on monthly reports or old historical dashboards. They need an AI-integrated stack from edge to operations, sensors that read each asset’s electrical “fingerprint,” private on-prem infrastructure for secure, low-latency processing, and an AI operations layer that turns signals into plain-language actions and verifies the savings.

This is the practical path to Industry 5.0 integration on the shop floor, decisions must be fast, cheap, and human-centric. That’s why our solution has three layers:

1) Hardware (fast, accurate, non-invasive).​

STEMIX E1

STEMIX E1: clip-on panel sensors device and inline plug-style adapters for individual machines. Can be installed on virtually any equipment connected to a power supply, no matter the process or the production line type.

• High-resolution energy fingerprint capture: we sample power waveforms at thousands of points per second. That detail lets us tell idle vs. working and even which operation step a machine is in (e.g., heat-up, engage, run-down). Measurements follow well-known power-quality practices so trends stay repeatable and comparable over time.

2) Infrastructure.​

• For security and sovereignty, we run on our own infrastructure and AI servers—no public cloud for your production data. That reduces exposure, simplifies compliance, and keeps analytics close to where the data is created.

3) AI-OP Dashboard (insights , actions, verified outcomes)​

• Natural-language Q&A: “Where did consumption spike today?”, “Which machines drifted from normal?” Get focused answers with evidence.
• Prescriptions, not just alerts: when waste or unusual behavior appears, AI-OP proposes the next best action (e.g., “enable standby after X minutes,” “schedule a quick check on Line 2”).
• Playbooks & verification: accepted suggestions become one-click playbooks; the platform then verifies the outcome against the energy profile (did idle drop? did the signature normalize?). With low-latency edge processing, plants get near-real-time feedback without shipping raw streams off-site.

We build a per-machine energy profile (“golden runs”) and group recurring actions. New traces are compared to the closest pattern; if they drift, we flag an anomaly with a plain-language hint (e.g., “unusual drive/load behavior”).
This non-intrusive approach is how we spotted an edgebander idling around 4 kW between runs on day 1 and created an report to the plant managers so he could potentially eliminate a ~€1k/year cost on a single-shift line.

Real word measurements on table saw during normal operation.

This approach scales.​

Every factory, line, and machine is ultimately connected to a power source and that feed can be monitored. With Stemix AI-OP monitoring at the machine/line level and factory level, you can build up from a single asset to an entire production site using the same data models and methods.

It’s exactly what Europe’s grid planners say they need. ENTSO-E projects rapidly growing system flexibility needs through 2030 and beyond so industrial consumers can participate with clear data formats and rules. Thousands of AI-instrumented factories can feed that ecosystem with verifiable, sub-hourly actions (e.g., staggering heat-ups, pausing non-critical cycles, pre-heating in low-price windows), turning industry into a first-class grid asset rather than a passive consumer.

If you believe this could help your organization, comment “Optimize” and we’ll reach out to set up a quick call.

Contact: liviu@stemix.tech • stemix.tech

---

Repost (English translation from the original Romanian):

 

[buena suerte :-)]

My granddaughter 1st birthday and we had to dress up

... Great work Pdu .... Happy 1st Birthday little girl

 

[smoothsailing18]

The media pdf release states that ‘Hey Mercedes’ is no longer a prototype but a product reality.

”Hey Mercedes: very powerful voice assistant
The "Hey Mercedes" voice assistant is highly capable of dialogue and learning by activating online services in the Mercedes me App. Moreover, certain actions can be performed even without the activation keyword "Hey Mercedes". These include taking a telephone call. "Hey Mercedes" also explains vehicle functions, and, for example, can help when asked how to connect a smartphone via Bluetooth or where the first-aid kit can be found.If compatible home technology and household devices are present, they can also be networked with the vehicle thanks to the smart home function and controlled from the vehicle by voice. "Hey Mercedes" can also detect occupants audibly. Once the individual voice characteristics have been learned, this can be used to access personal data and functions by activating a profile

As of September 7, 2025, the Mercedes-Benz "Hey Mercedes" voice control system in certain vehicles, particularly the VISION EQXX concept car, utilizes BrainChip's Akida neuromorphic processor. Mercedes-Benz has publicly stated that this technology is 5 to 10 times more efficient than conventional voice control systems for keyword spotting [1]

 

[Food4 thought]

New podcast “Innovations in Edge AI” with our CEO Sean Hehir and Transform NOW podcast host Michael Marchuk from SS&C Blue Prism








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Some interesting snippets:


From 4:09 min

Podcast host: “So how do you see the differentiation happening within the way you’re positioning your particular architecture vs the way that say Nvidia, Google or some of the others with their specific architectures.”

The second part of Sean Hehir’s answer was:

“We complement them. We’re not gonna compete with them. They’re excellent in what they do, we’re excellent in what we do. And, you know, they cannot do, what we can do, just like we could or could not do some of the things they do. There is no reason our technology couldn’t go there, but there is no really need to go there right now, because they’re there and people are not overly sensitive about power, yet. Some day they will be, but right now these technologies are very complementary. Just use the right tool for the right task at hand. Nothing more complicated than that.”


From 5:34 min

Podcast Host: “How do you see moving your architecture into that type of space [= data center], or do you see that as an eventuality?”

Sean Hehir: “Our mission is to enable the Edge. We have no plans right now at all to move our stuff into the data center. Over time, couldn’t that happen? Absolutely. We think there’s a very large addressable market. We’re staying focused on that addressable market, because that’s where we excel, but you’re absolutely right, the world is waking up, there is limits on the power. You know, and many people in the data center now are trying to reduce their power signature, and they’re gonna run into to some technological limits. And later on, you’re gonna talk about some of the bases of our technology which are inherently lower-power, and some of the things around taking advantage of event-based or neuromorphic and sparsity and all the things that we do exceptionally well, those principles will start to be really really important in the data center in the coming decades.”


So you heard it from the horse’s mouth: “We have no plans right now to move our stuff into the data center.” (And I assume he wasn’t talking about the Laguna Hills office furniture etc )


From 22:54 min:

Podcast host: “So are we gonna see BrainChip IP in some of these humanoid robots that we’ve seen being developed?”

Sean Hehir: “I certainly hope so, and I expect so.”

Michael Marchuk - Blue Prism | LinkedIn

I am the Vice President of Global Advisory Programs at Blue Prism, a leading provider of… · Experience: Blue Prism · Education: University of Illinois at Urbana-Champaign · Location: Charlotte Metro · 500+ connections on LinkedIn. View Michael Marchuk’s profile on LinkedIn, a professional...

www.linkedin.com

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It’s the best I have heard Sean speaking very direct strong and professional ( what’s happened lately to get him so positive)

 

[smoothsailing18]

It’s the best I have heard Sean speaking very direct strong and professional ( what’s happened lately to get him so positive)

Yes agreed, he was also moving his hands around explaining himself with gusto , I like this positive energy. Normally he doesn't move much at all.

 

[Bravo]

Not rude, but honest! AND it is my decision! I do not have the time, and I also do not want to read all those pages with something an AI is guessing. ChatGPT might be right sometimes, but also wrong many times.

I asked you before to reduce those posts to summaries, and many people here supported that, but you ignored it and continued posting those long stories. Who was rude here?

I have always highly appreciated your posts before you started using ChatGPT, but I do not see those posts anymore. It is only ChatGPT you have been posting lately. That's your decision.

You cannot win them all!

With respect, CHIPS, I don’t think it’s fair for anyone to dictate how others choose to post here. What you find boring, others may find enlightening or thought-provoking. That’s the whole point of a forum. It's a mix of perspectives and contributions that different people value in different ways. So, if you don’t find value in a particular contribution, the simplest option is to scroll past or use the ignore function.

What often gets overlooked is the time and effort that goes into many of these posts. It’s easier to sit in judgment, but much harder to do the work of digging, analysing, and sharing for the benefit of the community.

At the end of the day, this forum only works because of those who are prepared to volunteer their time and effort freely. Undermining that spirit risks creating an environment where people stop contributing altogether and the forum loses its purpose and value for everyone.

In terms of content, I’ve made 4,152 posts here over the years, and about 7 of those have included a snippet from ChatGPT, so I think a little bit of perspective on this probably wouldn't go astray either.

 

[7für7]

Anyone at the expo in Osaka today?

 

[Pom down under]

What often gets overlooked is the time and effort that goes into many of these posts.

 

[itsol4605]

#edgeai #asr #ssm | Kevin Conley | 23 comments

I couldn't be more proud of the entire Applied Brain Research team for achieving an amazing milestone today. Only a week after receiving first silicon of the world’s first dedicated edge state space model accelerator, the TSP1 (picture below), we have full speech transcription (ASR) running in...

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